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Provides an easy way to report the results of ROC analysis, including: 1. an ROC curve. 2. the value of Cutoff, AUC (Area Under Curve), ACC (accuracy), SEN (sensitivity), SPE (specificity), PLR (positive likelihood ratio), NLR (negative likelihood ratio), PPV (positive predictive value), NPV (negative predictive value).

copied from cf-post-staging / r-reportroc
Type Size Name Uploaded Downloads Labels
conda 47.3 kB | noarch/r-reportroc-3.6-r45hc72bb7e_4.conda  6 months and 16 days ago 380 main
conda 47.1 kB | noarch/r-reportroc-3.6-r44hc72bb7e_4.conda  6 months and 16 days ago 370 main
conda 47.1 kB | noarch/r-reportroc-3.6-r43hc72bb7e_3.conda  1 year and 8 months ago 1296 main
conda 46.5 kB | noarch/r-reportroc-3.6-r44hc72bb7e_3.conda  1 year and 8 months ago 1280 main
conda 46.8 kB | noarch/r-reportroc-3.6-r43hc72bb7e_2.conda  2 years and 9 months ago 1758 main
conda 46.4 kB | noarch/r-reportroc-3.6-r42hc72bb7e_2.conda  2 years and 9 months ago 1700 main
conda 46.2 kB | noarch/r-reportroc-3.6-r41hc72bb7e_1.tar.bz2  3 years and 5 months ago 2061 main
conda 46.2 kB | noarch/r-reportroc-3.6-r42hc72bb7e_1.tar.bz2  3 years and 5 months ago 2065 main
conda 45.6 kB | noarch/r-reportroc-3.6-r40hc72bb7e_0.tar.bz2  3 years and 9 months ago 2529 main
conda 45.8 kB | noarch/r-reportroc-3.6-r41hc72bb7e_0.tar.bz2  3 years and 9 months ago 2575 main

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